/* Copyright 2017 The TensorFlow Authors. All Rights Reserved.

Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at

    http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
==============================================================================*/
// Unit test for TFLite Bidirectional LSTM op.

#include <iomanip>
#include <memory>
#include <vector>

#include <gmock/gmock.h>
#include <gtest/gtest.h>
#include "tensorflow/contrib/lite/interpreter.h"
#include "tensorflow/contrib/lite/kernels/register.h"
#include "tensorflow/contrib/lite/kernels/test_util.h"
#include "tensorflow/contrib/lite/model.h"

namespace tflite {
namespace {

using ::testing::ElementsAreArray;

class BidirectionalLSTMOpModel : public SingleOpModel {
 public:
  BidirectionalLSTMOpModel(int n_batch, int n_input, int n_cell, int n_output,
                           int sequence_length, bool use_cifg,
                           bool use_peephole, bool use_projection_weights,
                           bool use_projection_bias, float cell_clip,
                           float proj_clip,
                           const std::vector<std::vector<int>>& input_shapes)
      : n_batch_(n_batch),
        n_input_(n_input),
        n_fw_cell_(n_cell),
        n_bw_cell_(n_cell),
        n_fw_output_(n_output),
        n_bw_output_(n_output),
        sequence_length_(sequence_length) {
    input_ = AddInput(TensorType_FLOAT32);

    if (use_cifg) {
      fw_input_to_input_weights_ = AddNullInput();
    } else {
      fw_input_to_input_weights_ = AddInput(TensorType_FLOAT32);
    }

    fw_input_to_forget_weights_ = AddInput(TensorType_FLOAT32);
    fw_input_to_cell_weights_ = AddInput(TensorType_FLOAT32);
    fw_input_to_output_weights_ = AddInput(TensorType_FLOAT32);

    if (use_cifg) {
      fw_recurrent_to_input_weights_ = AddNullInput();
    } else {
      fw_recurrent_to_input_weights_ = AddInput(TensorType_FLOAT32);
    }

    fw_recurrent_to_forget_weights_ = AddInput(TensorType_FLOAT32);
    fw_recurrent_to_cell_weights_ = AddInput(TensorType_FLOAT32);
    fw_recurrent_to_output_weights_ = AddInput(TensorType_FLOAT32);

    if (use_peephole) {
      if (use_cifg) {
        fw_cell_to_input_weights_ = AddNullInput();
      } else {
        fw_cell_to_input_weights_ = AddInput(TensorType_FLOAT32);
      }
      fw_cell_to_forget_weights_ = AddInput(TensorType_FLOAT32);
      fw_cell_to_output_weights_ = AddInput(TensorType_FLOAT32);
    } else {
      fw_cell_to_input_weights_ = AddNullInput();
      fw_cell_to_forget_weights_ = AddNullInput();
      fw_cell_to_output_weights_ = AddNullInput();
    }

    if (use_cifg) {
      fw_input_gate_bias_ = AddNullInput();
    } else {
      fw_input_gate_bias_ = AddInput(TensorType_FLOAT32);
    }
    fw_forget_gate_bias_ = AddInput(TensorType_FLOAT32);
    fw_cell_bias_ = AddInput(TensorType_FLOAT32);
    fw_output_gate_bias_ = AddInput(TensorType_FLOAT32);

    if (use_projection_weights) {
      fw_projection_weights_ = AddInput(TensorType_FLOAT32);
      if (use_projection_bias) {
        fw_projection_bias_ = AddInput(TensorType_FLOAT32);
      } else {
        fw_projection_bias_ = AddNullInput();
      }
    } else {
      fw_projection_weights_ = AddNullInput();
      fw_projection_bias_ = AddNullInput();
    }

    fw_output_state_ = AddOutput(TensorType_FLOAT32);
    fw_cell_state_ = AddOutput(TensorType_FLOAT32);
    fw_output_ = AddOutput(TensorType_FLOAT32);

    if (use_cifg) {
      bw_input_to_input_weights_ = AddNullInput();
    } else {
      bw_input_to_input_weights_ = AddInput(TensorType_FLOAT32);
    }

    bw_input_to_forget_weights_ = AddInput(TensorType_FLOAT32);
    bw_input_to_cell_weights_ = AddInput(TensorType_FLOAT32);
    bw_input_to_output_weights_ = AddInput(TensorType_FLOAT32);

    if (use_cifg) {
      bw_recurrent_to_input_weights_ = AddNullInput();
    } else {
      bw_recurrent_to_input_weights_ = AddInput(TensorType_FLOAT32);
    }

    bw_recurrent_to_forget_weights_ = AddInput(TensorType_FLOAT32);
    bw_recurrent_to_cell_weights_ = AddInput(TensorType_FLOAT32);
    bw_recurrent_to_output_weights_ = AddInput(TensorType_FLOAT32);

    if (use_peephole) {
      if (use_cifg) {
        bw_cell_to_input_weights_ = AddNullInput();
      } else {
        bw_cell_to_input_weights_ = AddInput(TensorType_FLOAT32);
      }
      bw_cell_to_forget_weights_ = AddInput(TensorType_FLOAT32);
      bw_cell_to_output_weights_ = AddInput(TensorType_FLOAT32);
    } else {
      bw_cell_to_input_weights_ = AddNullInput();
      bw_cell_to_forget_weights_ = AddNullInput();
      bw_cell_to_output_weights_ = AddNullInput();
    }

    if (use_cifg) {
      bw_input_gate_bias_ = AddNullInput();
    } else {
      bw_input_gate_bias_ = AddInput(TensorType_FLOAT32);
    }
    bw_forget_gate_bias_ = AddInput(TensorType_FLOAT32);
    bw_cell_bias_ = AddInput(TensorType_FLOAT32);
    bw_output_gate_bias_ = AddInput(TensorType_FLOAT32);

    if (use_projection_weights) {
      bw_projection_weights_ = AddInput(TensorType_FLOAT32);
      if (use_projection_bias) {
        bw_projection_bias_ = AddInput(TensorType_FLOAT32);
      } else {
        bw_projection_bias_ = AddNullInput();
      }
    } else {
      bw_projection_weights_ = AddNullInput();
      bw_projection_bias_ = AddNullInput();
    }

    bw_output_state_ = AddOutput(TensorType_FLOAT32);
    bw_cell_state_ = AddOutput(TensorType_FLOAT32);
    bw_output_ = AddOutput(TensorType_FLOAT32);

    SetBuiltinOp(BuiltinOperator_BIDIRECTIONAL_SEQUENCE_LSTM,
                 BuiltinOptions_LSTMOptions,
                 CreateLSTMOptions(builder_, ActivationFunctionType_TANH,
                                   cell_clip, proj_clip)
                     .Union());
    BuildInterpreter(input_shapes);
  }

  // Set weights in forward and backward cells to be the same.
  void SetInputToInputWeights(std::initializer_list<float> f) {
    PopulateTensor(fw_input_to_input_weights_, f);
    PopulateTensor(bw_input_to_input_weights_, f);
  }

  void SetInputToForgetWeights(std::initializer_list<float> f) {
    PopulateTensor(fw_input_to_forget_weights_, f);
    PopulateTensor(bw_input_to_forget_weights_, f);
  }

  void SetInputToCellWeights(std::initializer_list<float> f) {
    PopulateTensor(fw_input_to_cell_weights_, f);
    PopulateTensor(bw_input_to_cell_weights_, f);
  }

  void SetInputToOutputWeights(std::initializer_list<float> f) {
    PopulateTensor(fw_input_to_output_weights_, f);
    PopulateTensor(bw_input_to_output_weights_, f);
  }

  void SetRecurrentToInputWeights(std::initializer_list<float> f) {
    PopulateTensor(fw_recurrent_to_input_weights_, f);
    PopulateTensor(bw_recurrent_to_input_weights_, f);
  }

  void SetRecurrentToForgetWeights(std::initializer_list<float> f) {
    PopulateTensor(fw_recurrent_to_forget_weights_, f);
    PopulateTensor(bw_recurrent_to_forget_weights_, f);
  }

  void SetRecurrentToCellWeights(std::initializer_list<float> f) {
    PopulateTensor(fw_recurrent_to_cell_weights_, f);
    PopulateTensor(bw_recurrent_to_cell_weights_, f);
  }

  void SetRecurrentToOutputWeights(std::initializer_list<float> f) {
    PopulateTensor(fw_recurrent_to_output_weights_, f);
    PopulateTensor(bw_recurrent_to_output_weights_, f);
  }

  void SetCellToInputWeights(std::initializer_list<float> f) {
    PopulateTensor(fw_cell_to_input_weights_, f);
    PopulateTensor(bw_cell_to_input_weights_, f);
  }

  void SetCellToForgetWeights(std::initializer_list<float> f) {
    PopulateTensor(fw_cell_to_forget_weights_, f);
    PopulateTensor(bw_cell_to_forget_weights_, f);
  }

  void SetCellToOutputWeights(std::initializer_list<float> f) {
    PopulateTensor(fw_cell_to_output_weights_, f);
    PopulateTensor(bw_cell_to_output_weights_, f);
  }

  void SetInputGateBias(std::initializer_list<float> f) {
    PopulateTensor(fw_input_gate_bias_, f);
    PopulateTensor(bw_input_gate_bias_, f);
  }

  void SetForgetGateBias(std::initializer_list<float> f) {
    PopulateTensor(fw_forget_gate_bias_, f);
    PopulateTensor(bw_forget_gate_bias_, f);
  }

  void SetCellBias(std::initializer_list<float> f) {
    PopulateTensor(fw_cell_bias_, f);
    PopulateTensor(bw_cell_bias_, f);
  }

  void SetOutputGateBias(std::initializer_list<float> f) {
    PopulateTensor(fw_output_gate_bias_, f);
    PopulateTensor(bw_output_gate_bias_, f);
  }

  void SetProjectionWeights(std::initializer_list<float> f) {
    PopulateTensor(fw_projection_weights_, f);
    PopulateTensor(bw_projection_weights_, f);
  }

  void SetProjectionBias(std::initializer_list<float> f) {
    PopulateTensor(fw_projection_bias_, f);
    PopulateTensor(bw_projection_bias_, f);
  }

  void ResetFwOutputAndCellStates() {
    const int zero_buffer_size = n_fw_cell_ * n_batch_;
    std::unique_ptr<float[]> zero_buffer(new float[zero_buffer_size]);
    memset(zero_buffer.get(), 0, zero_buffer_size * sizeof(float));
    PopulateTensor(fw_output_state_, 0, zero_buffer.get(),
                   zero_buffer.get() + zero_buffer_size);
    PopulateTensor(fw_cell_state_, 0, zero_buffer.get(),
                   zero_buffer.get() + zero_buffer_size);
  }

  void ResetBwOutputAndCellStates() {
    const int zero_buffer_size = n_bw_cell_ * n_batch_;
    std::unique_ptr<float[]> zero_buffer(new float[zero_buffer_size]);
    memset(zero_buffer.get(), 0, zero_buffer_size * sizeof(float));
    PopulateTensor(bw_output_state_, 0, zero_buffer.get(),
                   zero_buffer.get() + zero_buffer_size);
    PopulateTensor(bw_cell_state_, 0, zero_buffer.get(),
                   zero_buffer.get() + zero_buffer_size);
  }

  void SetInput(int offset, float* begin, float* end) {
    PopulateTensor(input_, offset, begin, end);
  }

  std::vector<float> GetFwOutput() { return ExtractVector<float>(fw_output_); }
  std::vector<float> GetBwOutput() { return ExtractVector<float>(bw_output_); }

  int num_inputs() { return n_input_; }
  int num_fw_outputs() { return n_fw_output_; }
  int num_bw_outputs() { return n_bw_output_; }
  int num_fw_cells() { return n_fw_cell_; }
  int num_bw_cells() { return n_bw_cell_; }
  int num_batches() { return n_batch_; }
  int sequence_length() { return sequence_length_; }

 private:
  int input_;
  int fw_input_to_input_weights_;
  int fw_input_to_forget_weights_;
  int fw_input_to_cell_weights_;
  int fw_input_to_output_weights_;

  int fw_recurrent_to_input_weights_;
  int fw_recurrent_to_forget_weights_;
  int fw_recurrent_to_cell_weights_;
  int fw_recurrent_to_output_weights_;

  int fw_cell_to_input_weights_;
  int fw_cell_to_forget_weights_;
  int fw_cell_to_output_weights_;

  int fw_input_gate_bias_;
  int fw_forget_gate_bias_;
  int fw_cell_bias_;
  int fw_output_gate_bias_;

  int fw_projection_weights_;
  int fw_projection_bias_;

  int bw_input_to_input_weights_;
  int bw_input_to_forget_weights_;
  int bw_input_to_cell_weights_;
  int bw_input_to_output_weights_;

  int bw_recurrent_to_input_weights_;
  int bw_recurrent_to_forget_weights_;
  int bw_recurrent_to_cell_weights_;
  int bw_recurrent_to_output_weights_;

  int bw_cell_to_input_weights_;
  int bw_cell_to_forget_weights_;
  int bw_cell_to_output_weights_;

  int bw_input_gate_bias_;
  int bw_forget_gate_bias_;
  int bw_cell_bias_;
  int bw_output_gate_bias_;

  int bw_projection_weights_;
  int bw_projection_bias_;

  int fw_output_;
  int fw_output_state_;
  int fw_cell_state_;

  int bw_output_;
  int bw_output_state_;
  int bw_cell_state_;

  int n_batch_;
  int n_input_;
  int n_fw_cell_;
  int n_bw_cell_;
  int n_fw_output_;
  int n_bw_output_;
  int sequence_length_;
};

TEST(LSTMOpTest, BlackBoxTestNoCifgNoPeepholeNoProjectionNoClipping) {
  const int n_batch = 1;
  const int n_input = 2;
  // n_cell and n_output have the same size when there is no projection.
  const int n_cell = 4;
  const int n_output = 4;
  const int sequence_length = 3;

  BidirectionalLSTMOpModel lstm(
      n_batch, n_input, n_cell, n_output, sequence_length, /*use_cifg=*/false,
      /*use_peephole=*/false, /*use_projection_weights=*/false,
      /*use_projection_bias=*/false, /*cell_clip=*/0.0, /*proj_clip=*/0.0,
      {
          {sequence_length, n_batch, n_input},  // input tensor

          // Forward cell
          {n_cell, n_input},  // input_to_input_weight tensor
          {n_cell, n_input},  // input_to_forget_weight tensor
          {n_cell, n_input},  // input_to_cell_weight tensor
          {n_cell, n_input},  // input_to_output_weight tensor

          {n_cell, n_output},  // recurrent_to_input_weight tensor
          {n_cell, n_output},  // recurrent_to_forget_weight tensor
          {n_cell, n_output},  // recurrent_to_cell_weight tensor
          {n_cell, n_output},  // recurrent_to_output_weight tensor

          {0},  // cell_to_input_weight tensor
          {0},  // cell_to_forget_weight tensor
          {0},  // cell_to_output_weight tensor

          {n_cell},  // input_gate_bias tensor
          {n_cell},  // forget_gate_bias tensor
          {n_cell},  // cell_bias tensor
          {n_cell},  // output_gate_bias tensor

          {0, 0},  // projection_weight tensor
          {0},     // projection_bias tensor

          // Backward cell
          {n_cell, n_input},  // input_to_input_weight tensor
          {n_cell, n_input},  // input_to_forget_weight tensor
          {n_cell, n_input},  // input_to_cell_weight tensor
          {n_cell, n_input},  // input_to_output_weight tensor

          {n_cell, n_output},  // recurrent_to_input_weight tensor
          {n_cell, n_output},  // recurrent_to_forget_weight tensor
          {n_cell, n_output},  // recurrent_to_cell_weight tensor
          {n_cell, n_output},  // recurrent_to_output_weight tensor

          {0},  // cell_to_input_weight tensor
          {0},  // cell_to_forget_weight tensor
          {0},  // cell_to_output_weight tensor

          {n_cell},  // input_gate_bias tensor
          {n_cell},  // forget_gate_bias tensor
          {n_cell},  // cell_bias tensor
          {n_cell},  // output_gate_bias tensor

          {0, 0},  // projection_weight tensor
          {0},     // projection_bias tensor
      });

  lstm.SetInputToInputWeights({-0.45018822, -0.02338299, -0.0870589,
                               -0.34550029, 0.04266912, -0.15680569,
                               -0.34856534, 0.43890524});

  lstm.SetInputToCellWeights({-0.50013041, 0.1370284, 0.11810488, 0.2013163,
                              -0.20583314, 0.44344562, 0.22077113,
                              -0.29909778});

  lstm.SetInputToForgetWeights({0.09701663, 0.20334584, -0.50592935,
                                -0.31343272, -0.40032279, 0.44781327,
                                0.01387155, -0.35593212});

  lstm.SetInputToOutputWeights({-0.25065863, -0.28290087, 0.04613829,
                                0.40525138, 0.44272184, 0.03897077, -0.1556896,
                                0.19487578});

  lstm.SetInputGateBias({0., 0., 0., 0.});

  lstm.SetCellBias({0., 0., 0., 0.});

  lstm.SetForgetGateBias({1., 1., 1., 1.});

  lstm.SetOutputGateBias({0., 0., 0., 0.});

  lstm.SetRecurrentToInputWeights(
      {-0.0063535, -0.2042388, 0.31454784, -0.35746509, 0.28902304, 0.08183324,
       -0.16555229, 0.02286911, -0.13566875, 0.03034258, 0.48091322,
       -0.12528998, 0.24077177, -0.51332325, -0.33502164, 0.10629296});

  lstm.SetRecurrentToCellWeights(
      {-0.3407414, 0.24443203, -0.2078532, 0.26320225, 0.05695659, -0.00123841,
       -0.4744786, -0.35869038, -0.06418842, -0.13502428, -0.501764, 0.22830659,
       -0.46367589, 0.26016325, -0.03894562, -0.16368064});

  lstm.SetRecurrentToForgetWeights(
      {-0.48684245, -0.06655136, 0.42224967, 0.2112639, 0.27654213, 0.20864892,
       -0.07646349, 0.45877004, 0.00141793, -0.14609534, 0.36447752, 0.09196436,
       0.28053468, 0.01560611, -0.20127171, -0.01140004});

  lstm.SetRecurrentToOutputWeights(
      {0.43385774, -0.17194885, 0.2718237, 0.09215671, 0.24107647, -0.39835793,
       0.18212086, 0.01301402, 0.48572797, -0.50656658, 0.20047462, -0.20607421,
       -0.51818722, -0.15390486, 0.0468148, 0.39922136});

  // Input should have n_input * sequence_length many values.
  static float lstm_input[] = {2., 3., 3., 4., 1., 1.};
  static float lstm_fw_golden_output[] = {
      -0.02973187, 0.1229473,  0.20885126, -0.15358765,
      -0.03716109, 0.12507336, 0.41193449, -0.20860538,
      -0.15053082, 0.09120187, 0.24278517, -0.12222792};
  static float lstm_bw_golden_output[] = {
      -0.0806187, 0.139077, 0.400476, -0.197842,
      -0.0332076, 0.123838, 0.309777, -0.17621,
      -0.0490733, 0.0739237, 0.067706, -0.0208124};

  // Resetting cell_state and output_state
  lstm.ResetFwOutputAndCellStates();
  lstm.ResetBwOutputAndCellStates();

  float* batch0_start = lstm_input;
  float* batch0_end = batch0_start + lstm.num_inputs() * lstm.sequence_length();

  lstm.SetInput(0, batch0_start, batch0_end);

  lstm.Invoke();

  float* fw_golden_start = lstm_fw_golden_output;
  float* fw_golden_end =
      fw_golden_start + lstm.num_fw_outputs() * lstm.sequence_length();
  std::vector<float> fw_expected;
  fw_expected.insert(fw_expected.end(), fw_golden_start, fw_golden_end);
  EXPECT_THAT(lstm.GetFwOutput(),
              ElementsAreArray(ArrayFloatNear(fw_expected)));

  float* bw_golden_start = lstm_bw_golden_output;
  float* bw_golden_end =
      bw_golden_start + lstm.num_bw_outputs() * lstm.sequence_length();
  std::vector<float> bw_expected;
  bw_expected.insert(bw_expected.end(), bw_golden_start, bw_golden_end);
  EXPECT_THAT(lstm.GetBwOutput(),
              ElementsAreArray(ArrayFloatNear(bw_expected)));

  // Check reversed inputs.
  static float lstm_input_reversed[] = {1., 1., 3., 4., 2., 3.};

  // Resetting cell_state and output_state
  lstm.ResetFwOutputAndCellStates();
  lstm.ResetBwOutputAndCellStates();

  batch0_start = lstm_input_reversed;
  batch0_end = batch0_start + lstm.num_inputs() * lstm.sequence_length();

  lstm.SetInput(0, batch0_start, batch0_end);

  lstm.Invoke();

  fw_expected.clear();
  for (int s = 0; s < lstm.sequence_length(); s++) {
    fw_golden_start = lstm_fw_golden_output + s * lstm.num_fw_outputs();
    fw_golden_end = fw_golden_start + lstm.num_fw_outputs();
    fw_expected.insert(fw_expected.begin(), fw_golden_start, fw_golden_end);
  }
  EXPECT_THAT(lstm.GetBwOutput(),
              ElementsAreArray(ArrayFloatNear(fw_expected)));

  bw_expected.clear();
  for (int s = 0; s < lstm.sequence_length(); s++) {
    bw_golden_start = lstm_bw_golden_output + s * lstm.num_bw_outputs();
    bw_golden_end = bw_golden_start + lstm.num_bw_outputs();
    bw_expected.insert(bw_expected.begin(), bw_golden_start, bw_golden_end);
  }
  EXPECT_THAT(lstm.GetFwOutput(),
              ElementsAreArray(ArrayFloatNear(bw_expected)));
}

TEST(LSTMOpTest, BlackBoxTestWithCifgWithPeepholeNoProjectionNoClipping) {
  const int n_batch = 1;
  const int n_input = 2;
  // n_cell and n_output have the same size when there is no projection.
  const int n_cell = 4;
  const int n_output = 4;
  const int sequence_length = 3;

  BidirectionalLSTMOpModel lstm(
      n_batch, n_input, n_cell, n_output, sequence_length, /*use_cifg=*/true,
      /*use_peephole=*/true, /*use_projection_weights=*/false,
      /*use_projection_bias=*/false, /*cell_clip=*/0.0, /*proj_clip=*/0.0,
      {
          {sequence_length, n_batch, n_input},  // input tensor

          {0, 0},             // input_to_input_weight tensor
          {n_cell, n_input},  // input_to_forget_weight tensor
          {n_cell, n_input},  // input_to_cell_weight tensor
          {n_cell, n_input},  // input_to_output_weight tensor

          {0, 0},              // recurrent_to_input_weight tensor
          {n_cell, n_output},  // recurrent_to_forget_weight tensor
          {n_cell, n_output},  // recurrent_to_cell_weight tensor
          {n_cell, n_output},  // recurrent_to_output_weight tensor

          {0},       // cell_to_input_weight tensor
          {n_cell},  // cell_to_forget_weight tensor
          {n_cell},  // cell_to_output_weight tensor

          {0},       // input_gate_bias tensor
          {n_cell},  // forget_gate_bias tensor
          {n_cell},  // cell_bias tensor
          {n_cell},  // output_gate_bias tensor

          {0, 0},  // projection_weight tensor
          {0},     // projection_bias tensor

          {0, 0},             // input_to_input_weight tensor
          {n_cell, n_input},  // input_to_forget_weight tensor
          {n_cell, n_input},  // input_to_cell_weight tensor
          {n_cell, n_input},  // input_to_output_weight tensor

          {0, 0},              // recurrent_to_input_weight tensor
          {n_cell, n_output},  // recurrent_to_forget_weight tensor
          {n_cell, n_output},  // recurrent_to_cell_weight tensor
          {n_cell, n_output},  // recurrent_to_output_weight tensor

          {0},       // cell_to_input_weight tensor
          {n_cell},  // cell_to_forget_weight tensor
          {n_cell},  // cell_to_output_weight tensor

          {0},       // input_gate_bias tensor
          {n_cell},  // forget_gate_bias tensor
          {n_cell},  // cell_bias tensor
          {n_cell},  // output_gate_bias tensor

          {0, 0},  // projection_weight tensor
          {0},     // projection_bias tensor
      });

  lstm.SetInputToCellWeights({-0.49770179, -0.27711356, -0.09624726, 0.05100781,
                              0.04717243, 0.48944736, -0.38535351,
                              -0.17212132});

  lstm.SetInputToForgetWeights({-0.55291498, -0.42866567, 0.13056988,
                                -0.3633365, -0.22755712, 0.28253698, 0.24407166,
                                0.33826375});

  lstm.SetInputToOutputWeights({0.10725588, -0.02335852, -0.55932593,
                                -0.09426838, -0.44257352, 0.54939759,
                                0.01533556, 0.42751634});

  lstm.SetCellBias({0., 0., 0., 0.});

  lstm.SetForgetGateBias({1., 1., 1., 1.});

  lstm.SetOutputGateBias({0., 0., 0., 0.});

  lstm.SetRecurrentToCellWeights(
      {0.54066205, -0.32668582, -0.43562764, -0.56094903, 0.42957711,
       0.01841056, -0.32764608, -0.33027974, -0.10826075, 0.20675004,
       0.19069612, -0.03026325, -0.54532051, 0.33003211, 0.44901288,
       0.21193194});

  lstm.SetRecurrentToForgetWeights(
      {-0.13832897, -0.0515101, -0.2359007, -0.16661474, -0.14340827,
       0.36986142, 0.23414481, 0.55899, 0.10798943, -0.41174671, 0.17751795,
       -0.34484994, -0.35874045, -0.11352962, 0.27268326, 0.54058349});

  lstm.SetRecurrentToOutputWeights(
      {0.41613156, 0.42610586, -0.16495961, -0.5663873, 0.30579174, -0.05115908,
       -0.33941799, 0.23364776, 0.11178309, 0.09481031, -0.26424935, 0.46261835,
       0.50248802, 0.26114327, -0.43736315, 0.33149987});

  lstm.SetCellToForgetWeights(
      {0.47485286, -0.51955009, -0.24458408, 0.31544167});
  lstm.SetCellToOutputWeights(
      {-0.17135078, 0.82760304, 0.85573703, -0.77109635});

  static float lstm_input[] = {2., 3., 3., 4., 1., 1.};
  static float lstm_fw_golden_output[] = {
      -0.36444446, -0.00352185, 0.12886585, -0.05163646,
      -0.42312205, -0.01218222, 0.24201041, -0.08124574,
      -0.358325,   -0.04621704, 0.21641694, -0.06471302};
  static float lstm_bw_golden_output[] = {
      -0.401685, -0.0232794, 0.288642,  -0.123074,   -0.42915,  -0.00871577,
      0.20912,   -0.103567,  -0.166398, -0.00486649, 0.0697471, -0.0537578};

  // Resetting cell_state and output_state
  lstm.ResetFwOutputAndCellStates();
  lstm.ResetBwOutputAndCellStates();

  float* batch0_start = lstm_input;
  float* batch0_end = batch0_start + lstm.num_inputs() * lstm.sequence_length();

  lstm.SetInput(0, batch0_start, batch0_end);

  lstm.Invoke();

  float* fw_golden_start = lstm_fw_golden_output;
  float* fw_golden_end =
      fw_golden_start + lstm.num_fw_outputs() * lstm.sequence_length();
  std::vector<float> fw_expected;
  fw_expected.insert(fw_expected.end(), fw_golden_start, fw_golden_end);
  EXPECT_THAT(lstm.GetFwOutput(),
              ElementsAreArray(ArrayFloatNear(fw_expected)));

  float* bw_golden_start = lstm_bw_golden_output;
  float* bw_golden_end =
      bw_golden_start + lstm.num_bw_outputs() * lstm.sequence_length();
  std::vector<float> bw_expected;
  bw_expected.insert(bw_expected.end(), bw_golden_start, bw_golden_end);
  EXPECT_THAT(lstm.GetBwOutput(),
              ElementsAreArray(ArrayFloatNear(bw_expected)));

  // Check reversed inputs.
  static float lstm_input_reversed[] = {1., 1., 3., 4., 2., 3.};

  // Resetting cell_state and output_state
  lstm.ResetFwOutputAndCellStates();
  lstm.ResetBwOutputAndCellStates();

  batch0_start = lstm_input_reversed;
  batch0_end = batch0_start + lstm.num_inputs() * lstm.sequence_length();

  lstm.SetInput(0, batch0_start, batch0_end);

  lstm.Invoke();

  fw_expected.clear();
  for (int s = 0; s < lstm.sequence_length(); s++) {
    fw_golden_start = lstm_fw_golden_output + s * lstm.num_fw_outputs();
    fw_golden_end = fw_golden_start + lstm.num_fw_outputs();
    fw_expected.insert(fw_expected.begin(), fw_golden_start, fw_golden_end);
  }
  EXPECT_THAT(lstm.GetBwOutput(),
              ElementsAreArray(ArrayFloatNear(fw_expected)));

  bw_expected.clear();
  for (int s = 0; s < lstm.sequence_length(); s++) {
    bw_golden_start = lstm_bw_golden_output + s * lstm.num_bw_outputs();
    bw_golden_end = bw_golden_start + lstm.num_bw_outputs();
    bw_expected.insert(bw_expected.begin(), bw_golden_start, bw_golden_end);
  }
  EXPECT_THAT(lstm.GetFwOutput(),
              ElementsAreArray(ArrayFloatNear(bw_expected)));
}

TEST(LSTMOpTest, BlackBoxTestWithPeepholeWithProjectionNoClipping) {
  const int n_batch = 2;
  const int n_input = 5;
  const int n_cell = 20;
  const int n_output = 16;
  const int sequence_length = 4;

  BidirectionalLSTMOpModel lstm(
      n_batch, n_input, n_cell, n_output, sequence_length, /*use_cifg=*/false,
      /*use_peephole=*/true, /*use_projection_weights=*/true,
      /*use_projection_bias=*/false, /*cell_clip=*/0.0, /*proj_clip=*/0.0,
      {
          {sequence_length, n_batch, n_input},  // input tensor

          {n_cell, n_input},  // input_to_input_weight tensor
          {n_cell, n_input},  // input_to_forget_weight tensor
          {n_cell, n_input},  // input_to_cell_weight tensor
          {n_cell, n_input},  // input_to_output_weight tensor

          {n_cell, n_output},  // recurrent_to_input_weight tensor
          {n_cell, n_output},  // recurrent_to_forget_weight tensor
          {n_cell, n_output},  // recurrent_to_cell_weight tensor
          {n_cell, n_output},  // recurrent_to_output_weight tensor

          {n_cell},  // cell_to_input_weight tensor
          {n_cell},  // cell_to_forget_weight tensor
          {n_cell},  // cell_to_output_weight tensor

          {n_cell},  // input_gate_bias tensor
          {n_cell},  // forget_gate_bias tensor
          {n_cell},  // cell_bias tensor
          {n_cell},  // output_gate_bias tensor

          {n_output, n_cell},  // projection_weight tensor
          {0},                 // projection_bias tensor

          {n_cell, n_input},  // input_to_input_weight tensor
          {n_cell, n_input},  // input_to_forget_weight tensor
          {n_cell, n_input},  // input_to_cell_weight tensor
          {n_cell, n_input},  // input_to_output_weight tensor

          {n_cell, n_output},  // recurrent_to_input_weight tensor
          {n_cell, n_output},  // recurrent_to_forget_weight tensor
          {n_cell, n_output},  // recurrent_to_cell_weight tensor
          {n_cell, n_output},  // recurrent_to_output_weight tensor

          {n_cell},  // cell_to_input_weight tensor
          {n_cell},  // cell_to_forget_weight tensor
          {n_cell},  // cell_to_output_weight tensor

          {n_cell},  // input_gate_bias tensor
          {n_cell},  // forget_gate_bias tensor
          {n_cell},  // cell_bias tensor
          {n_cell},  // output_gate_bias tensor

          {n_output, n_cell},  // projection_weight tensor
          {0},                 // projection_bias tensor
      });

  lstm.SetInputToInputWeights(
      {0.021393683,  0.06124551,    0.046905167,  -0.014657677,  -0.03149463,
       0.09171803,   0.14647801,    0.10797193,   -0.0057968358, 0.0019193048,
       -0.2726754,   0.10154029,    -0.018539885, 0.080349885,   -0.10262385,
       -0.022599787, -0.09121155,   -0.008675967, -0.045206103,  -0.0821282,
       -0.008045952, 0.015478081,   0.055217247,  0.038719587,   0.044153627,
       -0.06453243,  0.05031825,    -0.046935108, -0.008164439,  0.014574226,
       -0.1671009,   -0.15519552,   -0.16819797,  -0.13971269,   -0.11953059,
       0.25005487,   -0.22790983,   0.009855087,  -0.028140958,  -0.11200698,
       0.11295408,   -0.0035217577, 0.054485075,  0.05184695,    0.064711206,
       0.10989193,   0.11674786,    0.03490607,   0.07727357,    0.11390585,
       -0.1863375,   -0.1034451,    -0.13945189,  -0.049401227,  -0.18767063,
       0.042483903,  0.14233552,    0.13832581,   0.18350165,    0.14545603,
       -0.028545704, 0.024939531,   0.050929718,  0.0076203286,  -0.0029723682,
       -0.042484224, -0.11827596,   -0.09171104,  -0.10808628,   -0.16327988,
       -0.2273378,   -0.0993647,    -0.017155107, 0.0023917493,  0.049272764,
       0.0038534778, 0.054764505,   0.089753784,  0.06947234,    0.08014476,
       -0.04544234,  -0.0497073,    -0.07135631,  -0.048929106,  -0.004042012,
       -0.009284026, 0.018042054,   0.0036860977, -0.07427302,   -0.11434604,
       -0.018995456, 0.031487543,   0.012834908,  0.019977754,   0.044256654,
       -0.39292613,  -0.18519334,   -0.11651281,  -0.06809892,   0.011373677});

  lstm.SetInputToForgetWeights(
      {-0.0018401089, -0.004852237,  0.03698424,   0.014181704,   0.028273236,
       -0.016726194,  -0.05249759,   -0.10204261,  0.00861066,    -0.040979505,
       -0.009899187,  0.01923892,    -0.028177269, -0.08535103,   -0.14585495,
       0.10662567,    -0.01909731,   -0.017883534, -0.0047269356, -0.045103323,
       0.0030784295,  0.076784775,   0.07463696,   0.094531395,   0.0814421,
       -0.12257899,   -0.033945758,  -0.031303465, 0.045630626,   0.06843887,
       -0.13492945,   -0.012480007,  -0.0811829,   -0.07224499,   -0.09628791,
       0.045100946,   0.0012300825,  0.013964662,  0.099372394,   0.02543059,
       0.06958324,    0.034257296,   0.0482646,    0.06267997,    0.052625068,
       0.12784666,    0.07077897,    0.025725935,  0.04165009,    0.07241905,
       0.018668644,   -0.037377294,  -0.06277783,  -0.08833636,   -0.040120605,
       -0.011405586,  -0.007808335,  -0.010301386, -0.005102167,  0.027717464,
       0.05483423,    0.11449111,    0.11289652,   0.10939839,    0.13396506,
       -0.08402166,   -0.01901462,   -0.044678304, -0.07720565,   0.014350063,
       -0.11757958,   -0.0652038,    -0.08185733,  -0.076754324,  -0.092614375,
       0.10405491,    0.052960336,   0.035755895,  0.035839386,   -0.012540553,
       0.036881298,   0.02913376,    0.03420159,   0.05448447,    -0.054523353,
       0.02582715,    0.02327355,    -0.011857179, -0.0011980024, -0.034641717,
       -0.026125094,  -0.17582615,   -0.15923657,  -0.27486774,   -0.0006143371,
       0.0001771948,  -8.470171e-05, 0.02651807,   0.045790765,   0.06956496});

  lstm.SetInputToCellWeights(
      {-0.04580283,   -0.09549462,   -0.032418985,  -0.06454633,
       -0.043528453,  0.043018587,   -0.049152344,  -0.12418144,
       -0.078985475,  -0.07596889,   0.019484362,   -0.11434962,
       -0.0074034138, -0.06314844,   -0.092981495,  0.0062155537,
       -0.025034338,  -0.0028890965, 0.048929527,   0.06235075,
       0.10665918,    -0.032036792,  -0.08505916,   -0.10843358,
       -0.13002433,   -0.036816437,  -0.02130134,   -0.016518239,
       0.0047691227,  -0.0025825808, 0.066017866,   0.029991534,
       -0.10652836,   -0.1037554,    -0.13056071,   -0.03266643,
       -0.033702414,  -0.006473424,  -0.04611692,   0.014419339,
       -0.025174323,  0.0396852,     0.081777506,   0.06157468,
       0.10210095,    -0.009658194,  0.046511717,   0.03603906,
       0.0069369148,  0.015960095,   -0.06507666,   0.09551598,
       0.053568836,   0.06408714,    0.12835667,    -0.008714329,
       -0.20211966,   -0.12093674,   0.029450472,   0.2849013,
       -0.029227901,  0.1164364,     -0.08560263,   0.09941786,
       -0.036999565,  -0.028842626,  -0.0033637602, -0.017012902,
       -0.09720865,   -0.11193351,   -0.029155117,  -0.017936034,
       -0.009768936,  -0.04223324,   -0.036159635,  0.06505112,
       -0.021742892,  -0.023377212,  -0.07221364,   -0.06430552,
       0.05453865,    0.091149814,   0.06387331,    0.007518393,
       0.055960953,   0.069779344,   0.046411168,   0.10509911,
       0.07463894,    0.0075130584,  0.012850982,   0.04555431,
       0.056955688,   0.06555285,    0.050801456,   -0.009862683,
       0.00826772,    -0.026555609,  -0.0073611983, -0.0014897042});

  lstm.SetInputToOutputWeights(
      {-0.0998932,   -0.07201956,  -0.052803773,  -0.15629593,  -0.15001918,
       -0.07650751,  0.02359855,   -0.075155355,  -0.08037709,  -0.15093534,
       0.029517552,  -0.04751393,  0.010350531,   -0.02664851,  -0.016839722,
       -0.023121163, 0.0077019283, 0.012851257,   -0.05040649,  -0.0129761,
       -0.021737747, -0.038305793, -0.06870586,   -0.01481247,  -0.001285394,
       0.10124236,   0.083122835,  0.053313006,   -0.062235646, -0.075637154,
       -0.027833903, 0.029774971,  0.1130802,     0.09218906,   0.09506135,
       -0.086665764, -0.037162706, -0.038880914,  -0.035832845, -0.014481564,
       -0.09825003,  -0.12048569,  -0.097665586,  -0.05287633,  -0.0964047,
       -0.11366429,  0.035777505,  0.13568819,    0.052451383,  0.050649304,
       0.05798951,   -0.021852335, -0.099848844,  0.014740475,  -0.078897946,
       0.04974699,   0.014160473,  0.06973932,    0.04964942,   0.033364646,
       0.08190124,   0.025535367,  0.050893165,   0.048514254,  0.06945813,
       -0.078907564, -0.06707616,  -0.11844508,   -0.09986688,  -0.07509403,
       0.06263226,   0.14925587,   0.20188436,    0.12098451,   0.14639415,
       0.0015017595, -0.014267382, -0.03417257,   0.012711468,  0.0028300495,
       -0.024758482, -0.05098548,  -0.0821182,    0.014225672,  0.021544158,
       0.08949725,   0.07505268,   -0.0020780868, 0.04908258,   0.06476295,
       -0.022907063, 0.027562456,  0.040185735,   0.019567577,  -0.015598739,
       -0.049097303, -0.017121866, -0.083368234,  -0.02332002,  -0.0840956});

  lstm.SetInputGateBias(
      {0.02234832,  0.14757581,   0.18176508,  0.10380666,  0.053110216,
       -0.06928846, -0.13942584,  -0.11816189, 0.19483899,  0.03652339,
       -0.10250295, 0.036714908,  -0.18426876, 0.036065217, 0.21810818,
       0.02383196,  -0.043370757, 0.08690144,  -0.04444982, 0.00030581196});

  lstm.SetForgetGateBias({0.035185695, -0.042891346, -0.03032477, 0.23027696,
                          0.11098921,  0.15378423,   0.09263801,  0.09790885,
                          0.09508917,  0.061199076,  0.07665568,  -0.015443159,
                          -0.03499149, 0.046190713,  0.08895977,  0.10899629,
                          0.40694186,  0.06030037,   0.012413437, -0.06108739});

  lstm.SetCellBias({-0.024379363, 0.0055531194, 0.23377132,   0.033463873,
                    -0.1483596,   -0.10639995,  -0.091433935, 0.058573797,
                    -0.06809782,  -0.07889636,  -0.043246906, -0.09829136,
                    -0.4279842,   0.034901652,  0.18797937,   0.0075234566,
                    0.016178843,  0.1749513,    0.13975595,   0.92058027});

  lstm.SetOutputGateBias(
      {0.046159424,  -0.0012809046, 0.03563469,   0.12648113, 0.027195795,
       0.35373217,   -0.018957434,  0.008907322,  -0.0762701, 0.12018895,
       0.04216877,   0.0022856654,  0.040952638,  0.3147856,  0.08225149,
       -0.057416286, -0.14995944,   -0.008040261, 0.13208859, 0.029760877});

  lstm.SetRecurrentToInputWeights(
      {-0.001374326,   -0.078856036,   0.10672688,    0.029162422,
       -0.11585556,    0.02557986,     -0.13446963,   -0.035785314,
       -0.01244275,    0.025961924,    -0.02337298,   -0.044228926,
       -0.055839065,   -0.046598054,   -0.010546039,  -0.06900766,
       0.027239809,    0.022582639,    -0.013296484,  -0.05459212,
       0.08981,        -0.045407712,   0.08682226,    -0.06867011,
       -0.14390695,    -0.02916037,    0.000996957,   0.091420636,
       0.14283475,     -0.07390571,    -0.06402044,   0.062524505,
       -0.093129106,   0.04860203,     -0.08364217,   -0.08119002,
       0.009352075,    0.22920375,     0.0016303885,  0.11583097,
       -0.13732095,    0.012405723,    -0.07551853,   0.06343048,
       0.12162708,     -0.031923793,   -0.014335606,  0.01790974,
       -0.10650317,    -0.0724401,     0.08554849,    -0.05727212,
       0.06556731,     -0.042729504,   -0.043227166,  0.011683251,
       -0.013082158,   -0.029302018,   -0.010899579,  -0.062036745,
       -0.022509435,   -0.00964907,    -0.01567329,   0.04260106,
       -0.07787477,    -0.11576462,    0.017356863,   0.048673786,
       -0.017577527,   -0.05527947,    -0.082487635,  -0.040137455,
       -0.10820036,    -0.04666372,    0.022746278,   -0.07851417,
       0.01068115,     0.032956902,    0.022433773,   0.0026891115,
       0.08944216,     -0.0685835,     0.010513544,   0.07228705,
       0.02032331,     -0.059686817,   -0.0005566496, -0.086984694,
       0.040414046,    -0.1380399,     0.094208956,   -0.05722982,
       0.012092817,    -0.04989123,    -0.086576,     -0.003399834,
       -0.04696032,    -0.045747425,   0.10091314,    0.048676282,
       -0.029037097,   0.031399418,    -0.0040285117, 0.047237843,
       0.09504992,     0.041799378,    -0.049185462,  -0.031518843,
       -0.10516937,    0.026374253,    0.10058866,    -0.0033195973,
       -0.041975245,   0.0073591834,   0.0033782164,  -0.004325073,
       -0.10167381,    0.042500053,    -0.01447153,   0.06464186,
       -0.017142897,   0.03312627,     0.009205989,   0.024138335,
       -0.011337001,   0.035530265,    -0.010912711,  0.0706555,
       -0.005894094,   0.051841937,    -0.1401738,    -0.02351249,
       0.0365468,      0.07590991,     0.08838724,    0.021681072,
       -0.10086113,    0.019608743,    -0.06195883,   0.077335775,
       0.023646897,    -0.095322326,   0.02233014,    0.09756986,
       -0.048691444,   -0.009579111,   0.07595467,    0.11480546,
       -0.09801813,    0.019894179,    0.08502348,    0.004032281,
       0.037211012,    0.068537936,    -0.048005626,  -0.091520436,
       -0.028379958,   -0.01556313,    0.06554592,    -0.045599163,
       -0.01672207,    -0.020169014,   -0.011877351,  -0.20212261,
       0.010889619,    0.0047078193,   0.038385306,   0.08540671,
       -0.017140968,   -0.0035865551,  0.016678626,   0.005633034,
       0.015963363,    0.00871737,     0.060130805,   0.028611384,
       0.10109069,     -0.015060172,   -0.07894427,   0.06401885,
       0.011584063,    -0.024466386,   0.0047652307,  -0.09041358,
       0.030737216,    -0.0046374933,  0.14215417,    -0.11823516,
       0.019899689,    0.006106124,    -0.027092824,  0.0786356,
       0.05052217,     -0.058925,      -0.011402121,  -0.024987547,
       -0.0013661642,  -0.06832946,    -0.015667673,  -0.1083353,
       -0.00096863037, -0.06988685,    -0.053350925,  -0.027275559,
       -0.033664223,   -0.07978348,    -0.025200296,  -0.017207067,
       -0.058403496,   -0.055697463,   0.005798788,   0.12965427,
       -0.062582195,   0.0013350133,   -0.10482091,   0.0379771,
       0.072521195,    -0.0029455067,  -0.13797039,   -0.03628521,
       0.013806405,    -0.017858358,   -0.01008298,   -0.07700066,
       -0.017081132,   0.019358726,    0.0027079724,  0.004635139,
       0.062634714,    -0.02338735,    -0.039547626,  -0.02050681,
       0.03385117,     -0.083611414,   0.002862572,   -0.09421313,
       0.058618143,    -0.08598433,    0.00972939,    0.023867095,
       -0.053934585,   -0.023203006,   0.07452513,    -0.048767887,
       -0.07314807,    -0.056307215,   -0.10433547,   -0.06440842,
       0.04328182,     0.04389765,     -0.020006588,  -0.09076438,
       -0.11652589,    -0.021705797,   0.03345259,    -0.010329105,
       -0.025767034,   0.013057034,    -0.07316461,   -0.10145612,
       0.06358255,     0.18531723,     0.07759293,    0.12006465,
       0.1305557,      0.058638252,    -0.03393652,   0.09622831,
       -0.16253184,    -2.4580743e-06, 0.079869635,   -0.070196845,
       -0.005644518,   0.06857898,     -0.12598175,   -0.035084512,
       0.03156317,     -0.12794146,    -0.031963028,  0.04692781,
       0.030070418,    0.0071660685,   -0.095516115,  -0.004643372,
       0.040170413,    -0.062104587,   -0.0037324072, 0.0554317,
       0.08184801,     -0.019164372,   0.06791302,    0.034257166,
       -0.10307039,    0.021943003,    0.046745934,   0.0790918,
       -0.0265588,     -0.007824208,   0.042546265,   -0.00977924,
       -0.0002440307,  -0.017384544,   -0.017990116,  0.12252321,
       -0.014512694,   -0.08251313,    0.08861942,    0.13589665,
       0.026351685,    0.012641483,    0.07466548,    0.044301085,
       -0.045414884,   -0.051112458,   0.03444247,    -0.08502782,
       -0.04106223,    -0.028126027,   0.028473156,   0.10467447});

  lstm.SetRecurrentToForgetWeights(
      {-0.057784554,  -0.026057621,  -0.068447545,   -0.022581743,
       0.14811787,    0.10826372,    0.09471067,     0.03987225,
       -0.0039523416, 0.00030638507, 0.053185795,    0.10572994,
       0.08414449,    -0.022036452,  -0.00066928595, -0.09203576,
       0.032950465,   -0.10985798,   -0.023809856,   0.0021431844,
       -0.02196096,   -0.00326074,   0.00058621005,  -0.074678116,
       -0.06193199,   0.055729095,   0.03736828,     0.020123724,
       0.061878487,   -0.04729229,   0.034919553,    -0.07585433,
       -0.04421272,   -0.044019096,  0.085488975,    0.04058006,
       -0.06890133,   -0.030951202,  -0.024628663,   -0.07672815,
       0.034293607,   0.08556707,    -0.05293577,    -0.033561368,
       -0.04899627,   0.0241671,     0.015736353,    -0.095442444,
       -0.029564252,  0.016493602,   -0.035026584,   0.022337519,
       -0.026871363,  0.004780428,   0.0077918363,   -0.03601621,
       0.016435321,   -0.03263031,   -0.09543275,    -0.047392778,
       0.013454138,   0.028934088,   0.01685226,     -0.086110644,
       -0.046250615,  -0.01847454,   0.047608484,    0.07339695,
       0.034546845,   -0.04881143,   0.009128804,    -0.08802852,
       0.03761666,    0.008096139,   -0.014454086,   0.014361001,
       -0.023502491,  -0.0011840804, -0.07607001,    0.001856849,
       -0.06509276,   -0.006021153,  -0.08570962,    -0.1451793,
       0.060212336,   0.055259194,   0.06974018,     0.049454916,
       -0.027794661,  -0.08077226,   -0.016179763,   0.1169753,
       0.17213494,    -0.0056326236, -0.053934924,   -0.0124349,
       -0.11520337,   0.05409887,    0.088759385,    0.0019655675,
       0.0042065294,  0.03881498,    0.019844765,    0.041858196,
       -0.05695512,   0.047233116,   0.038937137,    -0.06542224,
       0.014429736,   -0.09719407,   0.13908425,     -0.05379757,
       0.012321099,   0.082840554,   -0.029899208,   0.044217527,
       0.059855383,   0.07711018,    -0.045319796,   0.0948846,
       -0.011724666,  -0.0033288454, -0.033542685,   -0.04764985,
       -0.13873616,   0.040668588,   0.034832682,    -0.015319203,
       -0.018715994,  0.046002675,   0.0599172,      -0.043107376,
       0.0294216,     -0.002314414,  -0.022424703,   0.0030315618,
       0.0014641669,  0.0029166266,  -0.11878115,    0.013738511,
       0.12375372,    -0.0006038222, 0.029104086,    0.087442465,
       0.052958444,   0.07558703,    0.04817258,     0.044462286,
       -0.015213451,  -0.08783778,   -0.0561384,     -0.003008196,
       0.047060397,   -0.002058388,  0.03429439,     -0.018839769,
       0.024734668,   0.024614193,   -0.042046934,   0.09597743,
       -0.0043254104, 0.04320769,    0.0064070094,   -0.0019131786,
       -0.02558259,   -0.022822596,  -0.023273505,   -0.02464396,
       -0.10991725,   -0.006240552,  0.0074488563,   0.024044557,
       0.04383914,    -0.046476185,  0.028658995,    0.060410924,
       0.050786525,   0.009452605,   -0.0073054377,  -0.024810238,
       0.0052906186,  0.0066939713,  -0.0020913032,  0.014515517,
       0.015898481,   0.021362653,   -0.030262267,   0.016587038,
       -0.011442813,  0.041154444,   -0.007631438,   -0.03423484,
       -0.010977775,  0.036152758,   0.0066366293,   0.11915515,
       0.02318443,    -0.041350313,  0.021485701,    -0.10906167,
       -0.028218046,  -0.00954771,   0.020531068,    -0.11995105,
       -0.03672871,   0.024019798,   0.014255957,    -0.05221243,
       -0.00661567,   -0.04630967,   0.033188973,    0.10107534,
       -0.014027541,  0.030796422,   -0.10270911,    -0.035999842,
       0.15443139,    0.07684145,    0.036571592,    -0.035900835,
       -0.0034699554, 0.06209149,    0.015920248,    -0.031122351,
       -0.03858649,   0.01849943,    0.13872518,     0.01503974,
       0.069941424,   -0.06948533,   -0.0088794185,  0.061282158,
       -0.047401894,  0.03100163,    -0.041533746,   -0.10430945,
       0.044574402,   -0.01425562,   -0.024290353,   0.034563623,
       0.05866852,    0.023947537,   -0.09445152,    0.035450947,
       0.02247216,    -0.0042998926, 0.061146557,    -0.10250651,
       0.020881841,   -0.06747029,   0.10062043,     -0.0023941975,
       0.03532124,    -0.016341697,  0.09685456,     -0.016764693,
       0.051808182,   0.05875331,    -0.04536488,    0.001626336,
       -0.028892258,  -0.01048663,   -0.009793449,   -0.017093895,
       0.010987891,   0.02357273,    -0.00010856845, 0.0099760275,
       -0.001845119,  -0.03551521,   0.0018358806,   0.05763657,
       -0.01769146,   0.040995963,   0.02235177,     -0.060430344,
       0.11475477,    -0.023854522,  0.10071741,     0.0686208,
       -0.014250481,  0.034261297,   0.047418304,    0.08562733,
       -0.030519066,  0.0060542435,  0.014653856,    -0.038836084,
       0.04096551,    0.032249358,   -0.08355519,    -0.026823482,
       0.056386515,   -0.010401743,  -0.028396193,   0.08507674,
       0.014410365,   0.020995233,   0.17040324,     0.11511526,
       0.02459721,    0.0066619175,  0.025853224,    -0.023133837,
       -0.081302024,  0.017264642,   -0.009585969,   0.09491168,
       -0.051313367,  0.054532815,   -0.014298593,   0.10657464,
       0.007076659,   0.10964551,    0.0409152,      0.008275321,
       -0.07283536,   0.07937492,    0.04192024,     -0.1075027});

  lstm.SetRecurrentToCellWeights(
      {-0.037322544,   0.018592842,   0.0056175636,  -0.06253426,
       0.055647098,    -0.05713207,   -0.05626563,   0.005559383,
       0.03375411,     -0.025757805,  -0.088049285,  0.06017052,
       -0.06570978,    0.007384076,   0.035123326,   -0.07920549,
       0.053676967,    0.044480428,   -0.07663568,   0.0071805613,
       0.08089997,     0.05143358,    0.038261272,   0.03339287,
       -0.027673481,   0.044746667,   0.028349208,   0.020090483,
       -0.019443132,   -0.030755889,  -0.0040000007, 0.04465846,
       -0.021585021,   0.0031670958,  0.0053199246,  -0.056117613,
       -0.10893326,    0.076739706,   -0.08509834,   -0.027997585,
       0.037871376,    0.01449768,    -0.09002357,   -0.06111149,
       -0.046195522,   0.0422062,     -0.005683705,  -0.1253618,
       -0.012925729,   -0.04890792,   0.06985068,    0.037654128,
       0.03398274,     -0.004781977,  0.007032333,   -0.031787455,
       0.010868644,    -0.031489216,  0.09525667,    0.013939797,
       0.0058680447,   0.0167067,     0.02668468,    -0.04797466,
       -0.048885044,   -0.12722108,   0.035304096,   0.06554885,
       0.00972396,     -0.039238118,  -0.05159735,   -0.11329045,
       0.1613692,      -0.03750952,   0.06529313,    -0.071974665,
       -0.11769596,    0.015524369,   -0.0013754242, -0.12446318,
       0.02786344,     -0.014179351,  0.005264273,   0.14376344,
       0.015983658,    0.03406988,    -0.06939408,   0.040699873,
       0.02111075,     0.09669095,    0.041345075,   -0.08316494,
       -0.07684199,    -0.045768797,  0.032298047,   -0.041805092,
       0.0119405,      0.0061010392,  0.12652606,    0.0064572375,
       -0.024950314,   0.11574242,    0.04508852,    -0.04335324,
       0.06760663,     -0.027437469,  0.07216407,    0.06977076,
       -0.05438599,    0.034033038,   -0.028602652,  0.05346137,
       0.043184172,    -0.037189785,  0.10420091,    0.00882477,
       -0.054019816,   -0.074273005,  -0.030617684,  -0.0028467078,
       0.024302477,    -0.0038869337, 0.005332455,   0.0013399826,
       0.04361412,     -0.007001822,  0.09631092,    -0.06702025,
       -0.042049985,   -0.035070654,  -0.04103342,   -0.10273396,
       0.0544271,      0.037184782,   -0.13150354,   -0.0058036847,
       -0.008264958,   0.042035464,   0.05891794,    0.029673764,
       0.0063542654,   0.044788733,   0.054816857,   0.062257513,
       -0.00093483756, 0.048938446,   -0.004952862,  -0.007730018,
       -0.04043371,    -0.017094059,  0.07229206,    -0.023670016,
       -0.052195564,   -0.025616996,  -0.01520939,   0.045104615,
       -0.007376126,   0.003533447,   0.006570588,   0.056037236,
       0.12436656,     0.051817212,   0.028532185,   -0.08686856,
       0.11868599,     0.07663395,    -0.07323171,   0.03463402,
       -0.050708205,   -0.04458982,   -0.11590894,   0.021273347,
       0.1251325,      -0.15313013,   -0.12224372,   0.17228661,
       0.023029093,    0.086124025,   0.006445803,   -0.03496501,
       0.028332196,    0.04449512,    -0.042436164,  -0.026587414,
       -0.006041347,   -0.09292539,   -0.05678812,   0.03897832,
       0.09465633,     0.008115513,   -0.02171956,   0.08304309,
       0.071401566,    0.019622514,   0.032163795,   -0.004167056,
       0.02295182,     0.030739572,   0.056506045,   0.004612461,
       0.06524936,     0.059999723,   0.046395954,   -0.0045512207,
       -0.1335546,     -0.030136576,  0.11584653,    -0.014678886,
       0.0020118146,   -0.09688814,   -0.0790206,    0.039770417,
       -0.0329582,     0.07922767,    0.029322514,   0.026405897,
       0.04207835,     -0.07073373,   0.063781224,   0.0859677,
       -0.10925287,    -0.07011058,   0.048005477,   0.03438226,
       -0.09606514,    -0.006669445,  -0.043381985,  0.04240257,
       -0.06955775,    -0.06769346,   0.043903265,   -0.026784198,
       -0.017840602,   0.024307009,   -0.040079936,  -0.019946516,
       0.045318738,    -0.12233574,   0.026170589,   0.0074471775,
       0.15978073,     0.10185836,    0.10298046,    -0.015476589,
       -0.039390966,   -0.072174534,  0.0739445,     -0.1211869,
       -0.0347889,     -0.07943156,   0.014809798,   -0.12412325,
       -0.0030663363,  0.039695457,   0.0647603,     -0.08291318,
       -0.018529687,   -0.004423833,  0.0037507233,  0.084633216,
       -0.01514876,    -0.056505352,  -0.012800942,  -0.06994386,
       0.012962922,    -0.031234352,  0.07029052,    0.016418684,
       0.03618972,     0.055686004,   -0.08663945,   -0.017404709,
       -0.054761406,   0.029065743,   0.052404847,   0.020238016,
       0.0048197987,   -0.0214882,    0.07078733,    0.013016777,
       0.06262858,     0.009184685,   0.020785125,   -0.043904778,
       -0.0270329,     -0.03299152,   -0.060088247,  -0.015162964,
       -0.001828936,   0.12642565,    -0.056757294,  0.013586685,
       0.09232601,     -0.035886683,  0.06000002,    0.05229691,
       -0.052580316,   -0.082029596,  -0.010794592,  0.012947712,
       -0.036429964,   -0.085508935,  -0.13127148,   -0.017744139,
       0.031502828,    0.036232427,   -0.031581745,  0.023051167,
       -0.05325106,    -0.03421577,   0.028793324,   -0.034633752,
       -0.009881397,   -0.043551125,  -0.018609839,  0.0019097115,
       -0.008799762,   0.056595087,   0.0022273948,  0.055752404});

  lstm.SetRecurrentToOutputWeights({
      0.025825322,   -0.05813119,  0.09495884,   -0.045984812,   -0.01255415,
      -0.0026479573, -0.08196161,  -0.054914974, -0.0046604523,  -0.029587349,
      -0.044576716,  -0.07480124,  -0.082868785, 0.023254942,    0.027502948,
      -0.0039728214, -0.08683098,  -0.08116779,  -0.014675607,   -0.037924774,
      -0.023314456,  -0.007401714, -0.09255757,  0.029460307,    -0.08829125,
      -0.005139627,  -0.08989442,  -0.0555066,   0.13596267,     -0.025062224,
      -0.048351806,  -0.03850004,  0.07266485,   -0.022414139,   0.05940088,
      0.075114764,   0.09597592,   -0.010211725, -0.0049794707,  -0.011523867,
      -0.025980417,  0.072999895,  0.11091378,   -0.081685916,   0.014416728,
      0.043229222,   0.034178585,  -0.07530371,  0.035837382,    -0.085607,
      -0.007721233,  -0.03287832,  -0.043848954, -0.06404588,    -0.06632928,
      -0.073643476,  0.008214239,  -0.045984086, 0.039764922,    0.03474462,
      0.060612556,   -0.080590084, 0.049127717,  0.04151091,     -0.030063879,
      0.008801774,   -0.023021035, -0.019558564, 0.05158114,     -0.010947698,
      -0.011825728,  0.0075720972, 0.0699727,    -0.0039981045,  0.069350146,
      0.08799282,    0.016156472,  0.035502106,  0.11695009,     0.006217345,
      0.13392477,    -0.037875112, 0.025745004,  0.08940699,     -0.00924166,
      0.0046702605,  -0.036598757, -0.08811812,  0.10522024,     -0.032441203,
      0.008176899,   -0.04454919,  0.07058152,   0.0067963637,   0.039206743,
      0.03259838,    0.03725492,   -0.09515802,  0.013326398,    -0.052055415,
      -0.025676316,  0.03198509,   -0.015951829, -0.058556724,   0.036879618,
      0.043357447,   0.028362012,  -0.05908629,  0.0059240665,   -0.04995891,
      -0.019187413,  0.0276265,    -0.01628143,  0.0025863599,   0.08800015,
      0.035250366,   -0.022165963, -0.07328642,  -0.009415526,   -0.07455109,
      0.11690406,    0.0363299,    0.07411125,   0.042103454,    -0.009660886,
      0.019076364,   0.018299393,  -0.046004917, 0.08891175,     0.0431396,
      -0.026327137,  -0.051502608, 0.08979574,   -0.051670972,   0.04940282,
      -0.07491107,   -0.021240504, 0.022596184,  -0.034280192,   0.060163025,
      -0.058211457,  -0.051837247, -0.01349775,  -0.04639988,    -0.035936575,
      -0.011681591,  0.064818054,  0.0073146066, -0.021745546,   -0.043124277,
      -0.06471268,   -0.07053354,  -0.029321948, -0.05330136,    0.016933719,
      -0.053782392,  0.13747959,   -0.1361751,   -0.11569455,    0.0033329215,
      0.05693899,    -0.053219706, 0.063698,     0.07977434,     -0.07924483,
      0.06936997,    0.0034815092, -0.007305279, -0.037325785,   -0.07251102,
      -0.033633437,  -0.08677009,  0.091591336,  -0.14165086,    0.021752775,
      0.019683983,   0.0011612234, -0.058154266, 0.049996935,    0.0288841,
      -0.0024567875, -0.14345716,  0.010955264,  -0.10234828,    0.1183656,
      -0.0010731248, -0.023590032, -0.072285876, -0.0724771,     -0.026382286,
      -0.0014920527, 0.042667855,  0.0018776858, 0.02986552,     0.009814309,
      0.0733756,     0.12289186,   0.018043943,  -0.0458958,     0.049412545,
      0.033632483,   0.05495232,   0.036686596,  -0.013781798,   -0.010036754,
      0.02576849,    -0.08307328,  0.010112348,  0.042521734,    -0.05869831,
      -0.071689695,  0.03876447,   -0.13275425,  -0.0352966,     -0.023077697,
      0.10285965,    0.084736146,  0.15568255,   -0.00040734606, 0.027835453,
      -0.10292561,   -0.032401145, 0.10053256,   -0.026142767,   -0.08271222,
      -0.0030240538, -0.016368777, 0.1070414,    0.042672627,    0.013456989,
      -0.0437609,    -0.022309763, 0.11576483,   0.04108048,     0.061026827,
      -0.0190714,    -0.0869359,   0.037901703,  0.0610107,      0.07202949,
      0.01675338,    0.086139716,  -0.08795751,  -0.014898893,   -0.023771819,
      -0.01965048,   0.007955471,  -0.043740474, 0.03346837,     -0.10549954,
      0.090567775,   0.042013682,  -0.03176985,  0.12569028,     -0.02421228,
      -0.029526481,  0.023851605,  0.031539805,  0.05292009,     -0.02344001,
      -0.07811758,   -0.08834428,  0.10094801,   0.16594367,     -0.06861939,
      -0.021256343,  -0.041093912, -0.06669611,  0.035498552,    0.021757556,
      -0.09302526,   -0.015403468, -0.06614931,  -0.051798206,   -0.013874718,
      0.03630673,    0.010412845,  -0.08077351,  0.046185967,    0.0035662893,
      0.03541868,    -0.094149634, -0.034814864, 0.003128424,    -0.020674974,
      -0.03944324,   -0.008110165, -0.11113267,  0.08484226,     0.043586485,
      0.040582247,   0.0968012,    -0.065249965, -0.028036479,   0.0050708856,
      0.0017462453,  0.0326779,    0.041296225,  0.09164146,     -0.047743853,
      -0.015952192,  -0.034451712, 0.084197424,  -0.05347844,    -0.11768019,
      0.085926116,   -0.08251791,  -0.045081906, 0.0948852,      0.068401024,
      0.024856757,   0.06978981,   -0.057309967, -0.012775832,   -0.0032452994,
      0.01977615,    -0.041040014, -0.024264973, 0.063464895,    0.05431621,
  });

  lstm.SetCellToInputWeights(
      {0.040369894, 0.030746894,  0.24704495,  0.018586371,  -0.037586458,
       -0.15312155, -0.11812848,  -0.11465643, 0.20259799,   0.11418174,
       -0.10116027, -0.011334949, 0.12411352,  -0.076769054, -0.052169047,
       0.21198851,  -0.38871562,  -0.09061183, -0.09683246,  -0.21929175});

  lstm.SetCellToForgetWeights(
      {-0.01998659,  -0.15568835,  -0.24248174,   -0.012770197, 0.041331276,
       -0.072311886, -0.052123554, -0.0066330447, -0.043891653, 0.036225766,
       -0.047248036, 0.021479502,  0.033189066,   0.11952997,   -0.020432774,
       0.64658105,   -0.06650122,  -0.03467612,   0.095340036,  0.23647355});

  lstm.SetCellToOutputWeights(
      {0.08286371,  -0.08261836, -0.51210177, 0.002913762, 0.17764764,
       -0.5495371,  -0.08460716, -0.24552552, 0.030037103, 0.04123544,
       -0.11940523, 0.007358328, 0.1890978,   0.4833202,   -0.34441817,
       0.36312827,  -0.26375428, 0.1457655,   -0.19724406, 0.15548733});

  lstm.SetProjectionWeights(
      {-0.009802181,  0.09401916,    0.0717386,     -0.13895074,  0.09641832,
       0.060420845,   0.08539281,    0.054285463,   0.061395317,  0.034448683,
       -0.042991187,  0.019801661,   -0.16840284,   -0.015726732, -0.23041931,
       -0.024478018,  -0.10959692,   -0.013875541,  0.18600968,   -0.061274476,
       0.0138165,     -0.08160894,   -0.07661644,   0.032372914,  0.16169067,
       0.22465782,    -0.03993472,   -0.004017731,  0.08633481,   -0.28869787,
       0.08682067,    0.17240396,    0.014975425,   0.056431185,  0.031037588,
       0.16702051,    0.0077946745,  0.15140012,    0.29405436,   0.120285,
       -0.188994,     -0.027265169,  0.043389652,   -0.022061434, 0.014777949,
       -0.20203483,   0.094781205,   0.19100232,    0.13987629,   -0.036132768,
       -0.06426278,   -0.05108664,   0.13221376,    0.009441198,  -0.16715929,
       0.15859416,    -0.040437475,  0.050779544,   -0.022187516, 0.012166504,
       0.027685808,   -0.07675938,   -0.0055694645, -0.09444123,  0.0046453946,
       0.050794356,   0.10770313,    -0.20790008,   -0.07149004,  -0.11425117,
       0.008225835,   -0.035802525,  0.14374903,    0.15262283,   0.048710253,
       0.1847461,     -0.007487823,  0.11000021,    -0.09542012,  0.22619456,
       -0.029149994,  0.08527916,    0.009043713,   0.0042746216, 0.016261552,
       0.022461696,   0.12689082,    -0.043589946,  -0.12035478,  -0.08361797,
       -0.050666027,  -0.1248618,    -0.1275799,    -0.071875185, 0.07377272,
       0.09944291,    -0.18897448,   -0.1593054,    -0.06526116,  -0.040107165,
       -0.004618631,  -0.067624845,  -0.007576253,  0.10727444,   0.041546922,
       -0.20424393,   0.06907816,    0.050412357,   0.00724631,   0.039827548,
       0.12449835,    0.10747581,    0.13708383,    0.09134148,   -0.12617786,
       -0.06428341,   0.09956831,    0.1208086,     -0.14676677,  -0.0727722,
       0.1126304,     0.010139365,   0.015571211,   -0.038128063, 0.022913318,
       -0.042050496,  0.16842307,    -0.060597885,  0.10531834,   -0.06411776,
       -0.07451711,   -0.03410368,   -0.13393489,   0.06534304,   0.003620307,
       0.04490757,    0.05970546,    0.05197996,    0.02839995,   0.10434969,
       -0.013699693,  -0.028353551,  -0.07260381,   0.047201227,  -0.024575593,
       -0.036445823,  0.07155557,    0.009672501,   -0.02328883,  0.009533515,
       -0.03606021,   -0.07421458,   -0.028082801,  -0.2678904,   -0.13221288,
       0.18419984,    -0.13012612,   -0.014588381,  -0.035059117, -0.04824723,
       0.07830115,    -0.056184657,  0.03277091,    0.025466874,  0.14494097,
       -0.12522776,   -0.098633975,  -0.10766018,   -0.08317623,  0.08594209,
       0.07749552,    0.039474737,   0.1776665,     -0.07409566,  -0.0477268,
       0.29323658,    0.10801441,    0.1154011,     0.013952499,  0.10739139,
       0.10708251,    -0.051456142,  0.0074137426,  -0.10430189,  0.10034707,
       0.045594677,   0.0635285,     -0.0715442,    -0.089667566, -0.10811871,
       0.00026344223, 0.08298446,    -0.009525053,  0.006585689,  -0.24567553,
       -0.09450807,   0.09648481,    0.026996298,   -0.06419476,  -0.04752702,
       -0.11063944,   -0.23441927,   -0.17608605,   -0.052156363, 0.067035615,
       0.19271925,    -0.0032889997, -0.043264326,  0.09663576,   -0.057112187,
       -0.10100678,   0.0628376,     0.04447668,    0.017961001,  -0.10094388,
       -0.10190601,   0.18335468,    0.10494553,    -0.052095775, -0.0026118709,
       0.10539724,    -0.04383912,   -0.042349473,  0.08438151,   -0.1947263,
       0.02251204,    0.11216432,    -0.10307853,   0.17351969,   -0.039091777,
       0.08066188,    -0.00561982,   0.12633002,    0.11335965,   -0.0088127935,
       -0.019777594,  0.06864014,    -0.059751723,  0.016233567,  -0.06894641,
       -0.28651384,   -0.004228674,  0.019708522,   -0.16305895,  -0.07468996,
       -0.0855457,    0.099339016,   -0.07580735,   -0.13775392,  0.08434318,
       0.08330512,    -0.12131499,   0.031935584,   0.09180414,   -0.08876437,
       -0.08049874,   0.008753825,   0.03498998,    0.030215185,  0.03907079,
       0.089751154,   0.029194152,   -0.03337423,   -0.019092513, 0.04331237,
       0.04299654,    -0.036394123,  -0.12915532,   0.09793732,   0.07512415,
       -0.11319543,   -0.032502122,  0.15661901,    0.07671967,   -0.005491124,
       -0.19379048,   -0.218606,     0.21448623,    0.017840758,  0.1416943,
       -0.07051762,   0.19488361,    0.02664691,    -0.18104725,  -0.09334311,
       0.15026465,    -0.15493552,   -0.057762887,  -0.11604192,  -0.262013,
       -0.01391798,   0.012185008,   0.11156489,    -0.07483202,  0.06693364,
       -0.26151478,   0.046425626,   0.036540434,   -0.16435726,  0.17338543,
       -0.21401681,   -0.11385144,   -0.08283257,   -0.069031075, 0.030635102,
       0.010969227,   0.11109743,    0.010919218,   0.027526086,  0.13519906,
       0.01891392,    -0.046839405,  -0.040167913,  0.017953383,  -0.09700955,
       0.0061885654,  -0.07000971,   0.026893595,   -0.038844477, 0.14543656});

  static float lstm_input[][20] = {
      {// Batch0: 4 (input_sequence_size) * 5 (n_input)
       0.787926, 0.151646, 0.071352, 0.118426, 0.458058, 0.596268, 0.998386,
       0.568695, 0.864524, 0.571277, 0.073204, 0.296072, 0.743333, 0.069199,
       0.045348, 0.867394, 0.291279, 0.013714, 0.482521, 0.626339},

      {// Batch1: 4 (input_sequence_size) * 5 (n_input)
       0.295743, 0.544053, 0.690064, 0.858138, 0.497181, 0.642421, 0.524260,
       0.134799, 0.003639, 0.162482, 0.640394, 0.930399, 0.050782, 0.432485,
       0.988078, 0.082922, 0.563329, 0.865614, 0.333232, 0.259916}};

  static float lstm_fw_golden_output[][64] = {
      {// Batch0: 4 (input_sequence_size) * 16 (n_output)
       -0.00396806, 0.029352,     -0.00279226, 0.0159977,   -0.00835576,
       -0.0211779,  0.0283512,    -0.0114597,  0.00907307,  -0.0244004,
       -0.0152191,  -0.0259063,   0.00914318,  0.00415118,  0.017147,
       0.0134203,   -0.0166936,   0.0381209,   0.000889694, 0.0143363,
       -0.0328911,  -0.0234288,   0.0333051,   -0.012229,   0.0110322,
       -0.0457725,  -0.000832209, -0.0202817,  0.0327257,   0.0121308,
       0.0155969,   0.0312091,    -0.0213783,  0.0350169,   0.000324794,
       0.0276012,   -0.0263374,   -0.0371449,  0.0446149,   -0.0205474,
       0.0103729,   -0.0576349,   -0.0150052,  -0.0292043,  0.0376827,
       0.0136115,   0.0243435,    0.0354492,   -0.0189322,  0.0464512,
       -0.00251373, 0.0225745,    -0.0308346,  -0.0317124,  0.0460407,
       -0.0189395,  0.0149363,    -0.0530162,  -0.0150767,  -0.0340193,
       0.0286833,   0.00824207,   0.0264887,   0.0305169},
      {// Batch1: 4 (input_sequence_size) * 16 (n_output)
       -0.013869,    0.0287268,   -0.00334693, 0.00733398,  -0.0287926,
       -0.0186926,   0.0193662,   -0.0115437,  0.00422612,  -0.0345232,
       0.00223253,   -0.00957321, 0.0210624,   0.013331,    0.0150954,
       0.02168,      -0.0141913,  0.0322082,   0.00227024,  0.0260507,
       -0.0188721,   -0.0296489,  0.0399134,   -0.0160509,  0.0116039,
       -0.0447318,   -0.0150515,  -0.0277406,  0.0316596,   0.0118233,
       0.0214762,    0.0293641,   -0.0204549,  0.0450315,   -0.00117378,
       0.0167673,    -0.0375007,  -0.0238314,  0.038784,    -0.0174034,
       0.0131743,    -0.0506589,  -0.0048447,  -0.0240239,  0.0325789,
       0.00790065,   0.0220157,   0.0333314,   -0.0264787,  0.0387855,
       -0.000764675, 0.0217599,   -0.037537,   -0.0335206,  0.0431679,
       -0.0211424,   0.010203,    -0.062785,   -0.00832363, -0.025181,
       0.0412031,    0.0118723,   0.0239643,   0.0394009}};

  static float lstm_combined_golden_output[][64] = {
    {
      -0.022014,  0.073544, -0.002235,  0.040068, -0.037136, -0.052788,
      0.075325, -0.029378,  0.024298, -0.07733 , -0.030674, -0.060229,
      0.040599,  0.011608,  0.042005,  0.045977, -0.039225,  0.076294,
      0.000735,  0.032852, -0.069869, -0.053312,  0.073527, -0.028136,
      0.021585, -0.102679, -0.004327, -0.043304,  0.072861,  0.027077,
      0.034558,  0.068292, -0.036292,  0.069832, -0.003032,  0.053829,
      -0.043821, -0.072713,  0.085029, -0.040374,  0.020014, -0.104521,
      -0.034504, -0.059759,  0.062569,  0.025652,  0.049306,  0.061189,
      -0.025146,  0.079643, -0.005188,  0.033080, -0.048079, -0.048082,
      0.069369, -0.028900,  0.024572, -0.077547, -0.022517, -0.054477,
      0.038857,  0.013336,  0.043234,  0.044788},
    {
      -0.039186,  0.070792, -0.005913,  0.02642,  -0.068274, -0.05022,
      0.061444, -0.031241,  0.014996, -0.094544, -0.004146, -0.03464,
      0.058981,  0.026097,  0.039781,  0.058408, -0.031887,  0.069252,
      0.00576,   0.054062, -0.042801, -0.059974,  0.085272, -0.034453,
      0.026097, -0.0959,   -0.031164, -0.058699,  0.06839,   0.020512,
      0.044727,  0.063609, -0.039863,  0.084819, -0.003909,  0.028666,
      -0.075677, -0.045125,  0.070379, -0.033895,  0.022111, -0.097184,
      -0.004921, -0.040851,  0.062316,  0.017435,  0.041437,  0.064568,
      -0.039656,  0.060726, -0.003402,  0.036854, -0.056503, -0.058554,
      0.068588, -0.034879,  0.01352,  -0.09962,  -0.01434,  -0.039505,
      0.065133,  0.024321,  0.038473,  0.062438
    }};

  // Resetting cell_state and output_state
  lstm.ResetFwOutputAndCellStates();
  lstm.ResetBwOutputAndCellStates();

  for (int i = 0; i < lstm.sequence_length(); i++) {
    float* batch0_start = lstm_input[0] + i * lstm.num_inputs();
    float* batch0_end = batch0_start + lstm.num_inputs();

    lstm.SetInput(2 * i * lstm.num_inputs(), batch0_start, batch0_end);

    float* batch1_start = lstm_input[1] + i * lstm.num_inputs();
    float* batch1_end = batch1_start + lstm.num_inputs();
    lstm.SetInput((2 * i + 1) * lstm.num_inputs(), batch1_start, batch1_end);
  }

  lstm.Invoke();

  std::vector<float> expected;
  for (int i = 0; i < lstm.sequence_length(); i++) {
    float* golden_start_batch0 =
        lstm_fw_golden_output[0] + i * lstm.num_fw_outputs();
    float* golden_end_batch0 = golden_start_batch0 + lstm.num_fw_outputs();
    float* golden_start_batch1 =
        lstm_fw_golden_output[1] + i * lstm.num_fw_outputs();
    float* golden_end_batch1 = golden_start_batch1 + lstm.num_fw_outputs();
    expected.insert(expected.end(), golden_start_batch0, golden_end_batch0);
    expected.insert(expected.end(), golden_start_batch1, golden_end_batch1);
  }
  EXPECT_THAT(lstm.GetFwOutput(), ElementsAreArray(ArrayFloatNear(expected)));

  // Check if the sum of forward backward matches the golden.
  expected.clear();
  for (int i = 0; i < lstm.sequence_length(); i++) {
    float* golden_start_batch0 =
        lstm_combined_golden_output[0] + i * lstm.num_fw_outputs();
    float* golden_end_batch0 = golden_start_batch0 + lstm.num_fw_outputs();
    float* golden_start_batch1 =
        lstm_combined_golden_output[1] + i * lstm.num_fw_outputs();
    float* golden_end_batch1 = golden_start_batch1 + lstm.num_fw_outputs();
    expected.insert(expected.end(), golden_start_batch0, golden_end_batch0);
    expected.insert(expected.end(), golden_start_batch1, golden_end_batch1);
  }

  std::vector<float> combined;
  for (int i = 0; i < lstm.GetFwOutput().size(); ++i) {
    combined.push_back(lstm.GetFwOutput()[i] + lstm.GetBwOutput()[i]);
  }
  EXPECT_THAT(combined, ElementsAreArray(ArrayFloatNear(expected)));
}

}  // namespace
}  // namespace tflite

int main(int argc, char** argv) {
  ::tflite::LogToStderr();
  ::testing::InitGoogleTest(&argc, argv);
  return RUN_ALL_TESTS();
}
